Action Selection Based on Fuzzy AHP-Based TOPSIS Method in Fuzzy FMEA-Based Risk Assessment: A Case Study


Oturakci M., Konyalıoğlu A. K.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Türkiye, 19 - 21 Temmuz 2022, cilt.504, ss.369-377 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 504
  • Doi Numarası: 10.1007/978-3-031-09173-5_45
  • Basıldığı Şehir: Bornova
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.369-377
  • Anahtar Kelimeler: Risk assessment, Fuzzy FMEA, Fuzzy AHP, TOPSIS, Action selection
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

Today, risk assessment has become one of the most important applications of companies in the field of occupational health and safety. Many risk assessment types in the literature are applied by companies, and the objectivity of the results is very important in terms of worker, employer and environmental health. The aim of this study is to propose an objective risk assessment method and to prioritize the actions that can be taken as a result of the assessment. Hence, in this study, the hazards and the risks associated with those hazards that may arise in the production facility of a medium-sized company were determined as a first step. Then, these hazards were evaluated by the Fuzzy-Failure Mode and Effect Analysis (FMEA) method. As a result of the evaluation, alternative action plans for each hazard were determined together with the company team to eliminate the hazards in the highest risk group or minimize their damages. Since it is practically impossible for companies to take all the actions at the same time due to time, cost and labor constraints, the next part of the study includes which of the alternative actions should be applied to the hazards in the highest risk group. A Fuzzy AHP-based TOPSIS method was applied to prioritize actions. Thus, the actions to be taken against the hazards in the highest risk group were attempted to be chosen most appropriately with an objective approach.